# 数字宁波 vs 小鹿爱家

The clearest difference is in-app purchases: 小鹿爱家 at none against 数字宁波's 9. 数字宁波's advantage is ads (none vs shown) and iOS requirement (13.0 vs 15.0). On price, update cadence and device support there is nothing between them.

Both are free to download. 数字宁波 sells 9 one-off in-app purchases. 小鹿爱家 asks for nothing beyond the download.

数字宁波 ships an update monthly, 小鹿爱家 every 3 weeks. The most recent releases landed on November 2, 2026 and November 3, 2026 respectively.

## The numbers

| Metric | 数字宁波 | 小鹿爱家 |
| --- | --- | --- |
| Price | Free | Free |
| In-app purchases | Yes | **No** |
| Ads | **No** | Yes |
| Update frequency | Monthly | **Every 3 weeks** |
| Size | 124 MB | 31 MB |
| Requires iOS | **13.0** | 15.0 |
| Devices | iPhone, iPod | iPhone, iPod |
| Age rating | 17+ | 17+ |
| Developer | [龙源数字城市(北京)科技有限公司](https://appshunter.io/developer/1484299426) | [Beijing Guorun Fengze Technology Development Co., Ltd.](https://appshunter.io/developer/1692497619) |

## What reviewers say

### 数字宁波

[App page](https://appshunter.io/ios/app/id1400108287)

**Features:** macOS Compatibility

**In-app purchases (9)**

| Purchase | Price | Billing |
| --- | --- | --- |
| 6杂志币 | $0.99 | one-time |
| 数字城市会员（月） | $2.99 | one-time |
| 88杂志币 | $12.99 | one-time |
| 数字城市会员（年） | $29.99 | one-time |
| 198杂志币 | $29.99 | one-time |
| 288杂志币 | $39.99 | one-time |
| 388杂志币 | $59.99 | one-time |
| 588杂志币 | $79.99 | one-time |
| 读书会会员 | $299.99 | one-time |


### 小鹿爱家

[App page](https://appshunter.io/ios/app/id6450252289)

**Features:** macOS Compatibility

**In-app purchases:** none


## Frequently asked questions

### Is 数字宁波 free?

数字宁波 is free to download, with in-app purchases available.

### Is 小鹿爱家 free?

小鹿爱家 is free to download, with no in-app purchases.

### Do 数字宁波 or 小鹿爱家 have ads?

小鹿爱家 shows ads; 数字宁波 does not.

### Which is updated more often, 数字宁波 or 小鹿爱家?

数字宁波 ships an update monthly, and 小鹿爱家 every 3 weeks. Most recently, 数字宁波 was updated on November 2, 2026 and 小鹿爱家 on November 3, 2026.

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*Compared by [AppsHunter](https://appshunter.io/) from daily US App Store data. Review summaries are generated from verbatim App Store reviews.*